refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조

에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게
[공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류.
문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인).

- Topic_Programming → Domain_Programming (내부 구조 보존)
- Topic_Graphic → Domain_Design
- Topic_Business → Domain_Product
- Topic_General → Domain_General
- _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning),
  Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing)
- 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서)
- 빈 폴더 정리 (memory/procedures)
- 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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---
id: wiki-2026-0508-solitude-optimization
title: Solitude Optimization
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [single-tenant optimization, dedicated-instance tuning, isolation tuning]
duplicate_of: none
source_trust_level: B
confidence_score: 0.75
verification_status: applied
tags: [performance, isolation, multi-tenant, devops, optimization]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
language: multi
framework: kubernetes-firecracker-cgroups
---
# Solitude Optimization
## 매 한 줄
> **"매 noisy neighbor 의 quiet 의 making"**. Solitude optimization 의 single-tenant / dedicated-isolation workloads 의 의 performance / cost 의 tuning 의 — 매 multi-tenant 의 sharing economy 의 step away. 2026 의 use-cases: HIPAA/SOC2 silo tenants, ML training pods, latency-critical RTC.
## 매 핵심
### 매 isolation 의 levels
- **Process** (cgroups, Linux namespaces): 매 weak.
- **VM** (KVM, Firecracker microVM): 매 strong, 매 ms-boot.
- **Bare metal**: 매 strongest, 매 slowest provisioning.
- **Confidential computing** (SEV-SNP, TDX): 매 memory encryption, 매 even cloud admin 못 read.
### 매 cost 의 vs noise tradeoff
- pool: 매 cheapest, 매 noisy.
- silo VM: 매 2-5x cost, 매 quiet + auditable.
- bare metal: 매 5-10x, 매 silent + compliance-friendly.
### 매 응용
1. Top-N enterprise tenants 의 dedicated DB instance.
2. ML training 의 dedicated GPU node (no neighbor jitter).
3. Real-time audio/video 의 dedicated compute pool.
## 💻 패턴
### Kubernetes node 의 dedicated taint
```yaml
kubectl label node gpu-node-1 tenant=acme dedicated=true
kubectl taint nodes gpu-node-1 dedicated=acme:NoSchedule
# pod spec
spec:
nodeSelector: { tenant: acme }
tolerations:
- key: dedicated
operator: Equal
value: acme
effect: NoSchedule
```
### CPU pinning + isolated cores
```yaml
# kubelet --reserved-cpus=0-1, --cpu-manager-policy=static
spec:
containers:
- name: rtc
resources:
requests: { cpu: "4", memory: "8Gi" }
limits: { cpu: "4", memory: "8Gi" }
```
### Firecracker microVM (per-tenant)
```bash
firectl --kernel ./vmlinux --root-drive ./tenant-rootfs.ext4 \
--cpu-template T2 --vcpu-count 2 --memory 1024 \
--tap-device tap-acme/AA:FC:00:00:00:01
```
### Postgres 의 logical replica 의 silo upgrade
```sql
CREATE PUBLICATION acme_pub FOR TABLE invoices, users WHERE (tenant_id='acme-uuid');
-- on dedicated instance:
CREATE SUBSCRIPTION acme_sub CONNECTION '...' PUBLICATION acme_pub;
```
### Redis — dedicated DB index per VIP tenant
```typescript
const dbIdx = tenant.tier === 'enterprise' ? tenantToDb[tenant.id] : 0;
const r = new Redis({ host, port, db: dbIdx });
```
### Network egress 의 per-tenant bandwidth shape (tc)
```bash
tc qdisc add dev eth0 root handle 1: htb default 30
tc class add dev eth0 parent 1: classid 1:1 htb rate 100mbit
tc filter add dev eth0 protocol ip parent 1:0 prio 1 \
u32 match ip src 10.244.5.7/32 flowid 1:1
```
### NUMA-aware 의 ML pod
```yaml
apiVersion: v1
kind: Pod
spec:
containers:
- name: trainer
resources:
requests:
cpu: "16"
memory: "64Gi"
nvidia.com/gpu: "1"
limits:
cpu: "16"
memory: "64Gi"
nvidia.com/gpu: "1"
```
## 매 결정 기준
| 상황 | Isolation |
|---|---|
| HIPAA enterprise customer | silo (dedicated DB + node taint) |
| ML training, p99 jitter < 5ms | dedicated GPU node + CPU pin |
| RTC audio/video VIPs | dedicated pool, NUMA-pinned |
| free-tier | pool (cgroups only) |
**기본값**: pool with QoS-Guaranteed for paid tiers, silo upgrade option for enterprise SLA.
## 🔗 Graph
- 응용: [[Firecracker]]
- Adjacent: [[SaaS]] · [[SLO]]
## 🤖 LLM 활용
**언제**: tier-tradeoff explanation to sales, capacity planning, generating taint/toleration manifests.
**언제 X**: auto-migrating tenants pool→silo 의 unchecked — 매 cutover 의 careful orchestration 필요.
## ❌ 안티패턴
- **Silo by default**: 매 cost balloon — pool 의 enough for 95% tenants.
- **No QoS class**: BestEffort pods 의 prod 의 — 매 OOMKill victims.
- **Dedicated 의 sold w/o SLO uplift**: 매 customer 의 perceived value 0.
- **Forget the data plane**: CPU silo 의 했지만 shared NIC/Disk — 매 noise 여전.
## 🧪 검증 / 중복
- Verified (Kubernetes CPU Manager, Firecracker docs, AWS Nitro/SEV-SNP, Postgres logical rep).
- 신뢰도 B (term "solitude optimization" 의 niche; 매 industry 표준 용어 의 multi-tenancy isolation tuning).
## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — isolation/silo patterns + microVM + NUMA |